Course Title: Mobile and Personal Commun Systems Engineering PG

Part A: Course Overview

Course Title: Mobile and Personal Commun Systems Engineering PG

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


125H Electrical & Computer Engineering


Sem 2 2006,
Sem 2 2007,
Sem 2 2008,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011,
Sem 2 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016


City Campus


172H School of Engineering


Sem 1 2017,
Sem 1 2018,
Sem 1 2019,
Sem 1 2020,
Sem 1 2021,
Sem 1 2022,
Sem 1 2023,
Sem 1 2024

Course Coordinator: Professor Kandeepan Sithamparanathan

Course Coordinator Phone: +61 3 9925 2804

Course Coordinator Email:

Course Coordinator Location: 12.08.18

Course Coordinator Availability: Email for appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities

Assumed Knowledge
You are expected to have sound knowledge of the following topics: signals and systems description in time and frequency domains, random signals and noise, analog and digital modulation, noise and signal to noise ratio calculations. 

You are also expected to have basic computer scripting knowledge (e.g. scripting in Matlab).

Course Description

Mobile and Personal Communication enable people to communicate on the go, anywhere, anytime. Fast developing technologies are delivering more and more essential and exciting new services. In this course you will learn the fundamental techniques for the design and analysis of wireless communication in general and cellular mobile communication in particular.

The topics covered in this course include principles of wireless and cellular communication, signal propagation, signal fading and shadowing, advanced modulation and coding, OFDM Systems used in 5G technology, cell designs and traffic calculations, co-channel interference, wireless link design, coverage prediction, multiple antenna communication (MIMO) and error correction codes.

The practical sessions include using software tools for designing and studying the performance of wireless and mobile communication systems, and using software defined radios (SDR) to emulate wireless transmissions and model wireless signal propagation.

Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes:

  1. High levels of technical competence in the field
  2. Be able to apply problem solving approaches to work challenges and make decisions using sound engineering methodologies
  3. Be able to apply a systematic design approach to engineering projects and have strong research and design skills

For more information on the program learning outcomes for your program, please see the program guide.

Upon successful completion of this course, you will be able to:

  1. Explain the principles, concepts and operation of wireless and cellular communication systems;
  2. Describe the concepts of signal propagation models and wireless channels, perform interference calculations, analyse and design cellular wireless links, and coverage analysis;
  3. Describe  advanced modulation techniques and error correction codes for wireless communication;
  4. Experimentally analyse wireless channels;
  5. Use software tools and hardware modules such as software defined radios (SDR) to simulate, emulate and design wireless communication systems;
  6. Critically analyse the design requirements and the performance of wireless communication systems.

Overview of Learning Activities

You will be actively engaged in a range of learning activities such as pre-recorded lectures, tutorials, practicals, laboratories, seminars, project work, class discussion, individual and group activities. Delivery may be face to face, online or a mix of both.

You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, andthrough links and material specific to this course that is available through myRMIT Studies Course. 

Overview of Learning Resources

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.

Overview of Assessment

This course has no hurdle requirements.

The fundamentals, concepts and technical problem solving with any numerical calculation skills will be assessed. All assessment tasks will also assess your ability to critically analyse results and provide arguments to support design decisions. Written feedback will be provided on all assessment tasks except for the Final Assessment.

Assessment tasks

Assessment Task 1: Mid-semester assessment
Weighting 20%
This assessment task supports CLOs 1 & 2.
This assessment is a timed and timetabled assessment of less than 2 hours duration that students must attend on campus.

Assessment Task 2: Final assessment
Weighting 40%
This assessment task supports CLOs 1, 2, 3 & 6.
This assessment is a timed and timetabled assessment of less than 2 hours duration that students must attend on campus.

Assessment Task 3: Lab-1 assessment
Weighting 20%
This assessment task supports CLOs 1, 2, 4, 5 & 6.

Assessment 4: Lab-2 assessment
Weighting 20% 
This assessment supports CLOs 1, 2, 3, 5 & 6.
This assessment is a timed and timetabled assessment that students must attend on campus.

If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.